This project seeks to estimate sport fish harvest and releases of rockfish in Alaska waters by improving on the Howard et al. (2020) methods and expand the time series back to 1977 when the statewide harvest survey (SWHS) was first implemented. This is essentially a Bayesian version of the Howard methods that allows for more appropriate and defensible sharing of information between areas, handles missing data in a more appropriate manor, accurately propagates uncertainty throughout the estimation procedure and replaces the Howard decision tree approach to low sample sizes with a hierarchical model. The methods and results for generating harvest estimates are generally consistent between the Bayesian model and the Howard methods. Harvest estimates are consistent with Howard estimates during contemporary times, but may differ based on more appropriate weighting of SWHS and logbook data, including estimating and correcting bias in the SWHS data.

**Table 1.** Summary of key improvements in reconstructiing sport fish removals of rockfish using the Bayesian model as compared to the Howard et al. (2020) methods.
Issue	Howard	Bayes
Time series	1999 - present	1977 - present
Bias in SWHS	Not explicitly dealt with. Relies on logbook data and ratios of guided/unguided from SWHS data to estimate unguided releases and harvests.	Explicitly estimates bias in SWHS harvest and release estimates based on logbook data.
Species composition of releases	Assumes that species composition of releases is equal to that of the harvest, which is not evident in the logbook data.	Recognizes different release probabilities by species / species assemblage and estimates it from logbook data and bias corrected SWHS data
Sample size limitations	Uses sample size threshholds such that when areas fall below those threshholds values are borrowed from nearby areas.	Uses a hierarchichacal modelling approach that shares information between areas in the same region. Thus all data is used, even with small sample sizes. This is a more sound method that avoids assumptions and uses all of the data.
Error propogation	Error is propogated when variance estimates are available, but there is uncertainty associated with borrowing values from nearby areas, or the assumption of species compositions being identical in harvest and releases, are not dealt with.	By breaking the assumption that species composition is equal between harvests and releases, uncertainty in the release estimates is more reflective of the fishery. Furthermore, the hyerarchichal approach more accurately captures uncertainy within and between areas within a region.

Figure 1.- Data sources for estimating rockfish harvests and releases in ADF&G commercial fisheries management units. Note that initial rockfish harvest estimates were not differentiated into species assemblage or species until 1998 when logbooks began differentiating by pelagic and non-pelagic. Logbooks began to collect data on yelloweye beginning in 2006. Port sampling programs to gather data on species composition of harvests began in 1996 in Southcentral and Kodiak and in 2006 in Southeast.

Figure 2.- SWHS harvest (left) and release (right) estimates from guided trips (x-axis) versus repoted harvests from charter logbooks (y-axis).

Results

Model: LB_fit_3pH
Model Run: Gen4int_indcomp_swhsR_FULL_pHB4pars_re0d_thru2024_9e+05_2025-10-27 (Naming convention: modelname_thruYEAR_iters_rundate)
Proportion of parmaters converged (Rhat <= 1.1): 0.9955
See end of document for summary of unconverged parameters.

Figure X.- Rhat values and proportion of parameters that converged (Rhat < 1.1.)

Estimate comparison

Since previous estimates of rockfish harvest have been produced these first 3 graphs will be used to show how the modeled estimates compare to the estimates produced earlier. For total rockfish the estimates are in general agreement although differences are noted. These estimates should be more reliable because they include both SWHS and guide logbook data, handle variance more appropriately, use hierarchical distributions when data is missing, directly consider observation error and are produced using reproducible research.

Figure 3.- Total rockfish harvests 1996-2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 3.- Total rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Notes from Adam: When looking at only black rockfish the most significant differences are for the Prince William Sound Inside area. I did not spend a great deal of time tracking this down although it looks like the previous version used bad values for \(P_{(black)ayu}\) for at least unguided anglers. For the moment I would ignore the results for BSIA and SOKO2SAP. I think it is possible to give approximate values for these areas but it will require a little more coding which I have yet to do.

Figure 4.- Black rockfish harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

And black rockfish releases…

Figure 5.- Black rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 6.- Yellow rockfish harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 7.- Yellow rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 8.- DSR rockfish (excluding yelloweye) harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 9.- DSR rockfish releases (including yelloweye) 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 11.- Slope rockfish harvests 1996-2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 12.- Slope rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 13.- Other rockfish (non-pelagic and non-yelloweye) harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 14.- Other rockfish (non-pelagic and non-yelloweye) releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Total Biomass Removal Estimates

Figure 15.- Black rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 16.- Yellow rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 17.- Pelagic rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 18.- Non-yelloweye, demersal shelf rockfish estimated total removals in lbs in 1996-2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 19.- Slope rockfish estimated total removals in lbs in 1996-2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Model fit

Logbook residuals

Figure 20.- Residuals from logbook harvests.

SWHS residuals

Figure 21.- Residuals from SWHS harvests.

Figure 22.- Residual of SWHS releases.

Parameter estimates

P(Charter)

These histograms show the posterior distribution of the mean percent of rockfish harvested by the charter fleet.

Figure 23.- Mean percent of harvest by charter anglers.

When considered annually we see the percent of rockfish harvested by the charter fleet follows our data fairly well although the model smooths out the changes and we just do not have much information about this ratio. Prior to 2011 the percent charter is confounded with SWHS bias and should be mostly discounted.

Figure 24.- Annual estimates of the percent of harvest by charter anglers for 16 commerical fishing manamgent areas, 1996-2023.

P(Harvest)

These plots show the fitted logistic line to the proportion of caught rockfish that are harvested. These estimates are used for hindcasting catch estimates based on the harvest data in early years when catch estimates are unavailable.

Figure 25.- Annual proportion of pelagic rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available.

Figure 26.- Annual proportion of yelloweye rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available.

Figure 27.- Annual proportion of non-pelagic, non-yelloweye rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note, that this is not estimated for Southeast areas because non=pelagics are divided between DSR (including yelloweye) and Slope species.

Figure 28.- Annual proportion of DSR rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note that the observed logbook data is for all non-pelagic, non-yelloweye fish.

Figure 29.- Annual proportion of Slope rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note that the observed logbook data is for all non-pelagic, non-yelloweye fish.

SWHS bias

Figure 23 shows the mean estimate for SWHS bias in harvests and releases. Cook Inlet, North Gulf Coast and North Southeast Inside all look pretty good while most other areas have substantial bias. Prince William Sound Inside has the largest bias. Bias in release estimates is substantial and whereas the SWHS appears to underestimate harvests, it appears to greatly overestimates releases by a factor of 2 or more in most areas as derived from logbook reported releases.

Figure 30.- Mean SWHS bias for harvests and catches. Note that a bias < 1 indicates that the SWHS underestimates the true value and bias > 1 indicates the survey overestimates the true value.

Our estimates of SWHS harvest bias track observations fairly well when he have guided harvest estimates. The estimates of release bias in the SWHS data track observed patterns to an extent, but appear to smooth these more volatile disagreements with the logbook data. Adam postulated in his initial start on this that some of this could be the result of the estimates of the proportion guided. This value was not modelled with a trend and thus applies a constant estimate when hindcasting. Data on these relationships could greatly improve this model.

Figure 31.- Annual estimates of SWHS bias in harvests and releases for 16 commerical fishing manamgent areas, 1996-2023. Note that a bias < 1 indicates that the SWHS underestimates the true value and bias > 1 indicates the survey overestimates the true value.

P(pelagic)

We model the percentage of pelagic rockfish in the harvest because we have the information for charter anglers (via logbooks) starting in 1998. Other than looking at the model estimates you can use Figure 25 to compare the two data streams for pelagic rockfish harvest. In general they are in agreement with major exceptions in Price William Sound inside, Prince William Sound outside (early in the time series) and South Southeast inside.

Figure 32.- Annual estimates of the percent of the sport harvest that was pelagic rockfish for 16 commerical fishing manamgent areas, 1996-2023.

P(black|pelagic)

Note that in Southeast Alaska we only have composition data starting in 2006. Tania dug up old SE data, but it did not provide any useful data for species apportionment. For the most part, P(black|pelagic) is relatively constant across areas, with the exception of Cook Inlet and NSEI in Southeast AK. It may be worth discussing whether the shifts in those areas is a result of improved or changing species identification rather than actual shift in the species composition of the catch.

Figure 33.- Annual estimates of the percent of the sport harvest of pelagic rockfish that were black rockfish for 16 commerical fishing manamgent areas, 1996-2023. Kodiak panels include data from a hydroacoustic survey and the proportion of pelagic rockfish that are black in those areas (red) and the adjusted proportions based on obseved harvests for charter (blue) and private (cyan) users.

P(yelloweye|non-pelagic / yelloweye|DSR)

Figure 34.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were yelloweye rockfish for 16 commerical fishing manamgent areas, 1996-2023. Note that P(yelloweye) is the the proportion relative to non-pelagics for Central and Kodiak areas but is relative to DSR for Southeast areas.

P(DSR|non-pelagic)

Figure 35.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were DSR rockfish for 6 Southeast commerical fishing manamgent areas, 1996-2023.

P(slope|non-pelagic)

Figure 36.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were slope rockfish for 6 southeast commerical fishing manamgent areas, 1996-2023. Note that P(yelloweye) is the the proportion relative to non-pelagics for Central and Kodiak areas but is relative to DSR for Southeast areas.

P(slope|non-pelagic & non-yellowye) For release estimates

## NULL

Weight Fits

Figure 37.- Mean weights of black rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 38.- Mean weights of yelloweye rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 39.- Mean weights of non-black, pelagic rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 40.- Mean weights of non-yelloweye, demersal shelf rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 41.- Mean weights of slope rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Summary of unconverged parameters:

The proportion of unconverged species composition proportional estimates that are near the bounds of 0 or 1 is 0.366782

The proportion of unconverged true parameters (defined as Rhat > 1.01) that are also in excess of an Rhat of 1.1 is 0.2 while 0.8 are less than 1.1.

Table Xa. Species proportion derived quantities that are not with 0.05 of the 0 and 1 bounds and are not converged relative to an Rhat of 1.01.

variable	area_n	year	user	mean	median	lower	upper	Rhat	sd	skew	area
p_dsr	12	3	2	0.878	0.900	0.662	0.976	1.012	0.084	-0.263	EWYKT
p_yellow	13	1	1	0.461	0.400	0.134	0.991	1.038	0.244	0.250	NSEI
p_yellow	13	1	2	0.465	0.404	0.127	0.991	1.037	0.243	0.251	NSEI
p_yellow	13	10	1	0.462	0.396	0.132	0.992	1.038	0.246	0.268	NSEI
p_yellow	13	10	2	0.464	0.406	0.131	0.993	1.035	0.245	0.237	NSEI
p_yellow	13	11	1	0.457	0.390	0.128	0.990	1.038	0.246	0.273	NSEI
p_yellow	13	11	2	0.464	0.401	0.137	0.992	1.038	0.245	0.257	NSEI
p_yellow	13	12	1	0.458	0.391	0.131	0.993	1.035	0.248	0.270	NSEI
p_yellow	13	12	2	0.465	0.400	0.138	0.991	1.036	0.246	0.264	NSEI
p_yellow	13	13	1	0.460	0.398	0.135	0.993	1.038	0.244	0.254	NSEI
p_yellow	13	13	2	0.465	0.405	0.134	0.992	1.037	0.246	0.244	NSEI
p_yellow	13	14	1	0.458	0.394	0.131	0.992	1.042	0.246	0.260	NSEI
p_yellow	13	14	2	0.466	0.404	0.138	0.993	1.035	0.244	0.254	NSEI
p_yellow	13	15	1	0.455	0.385	0.127	0.992	1.041	0.248	0.282	NSEI
p_yellow	13	15	2	0.462	0.392	0.137	0.992	1.040	0.245	0.285	NSEI
p_yellow	13	16	1	0.458	0.398	0.131	0.992	1.037	0.245	0.245	NSEI
p_yellow	13	16	2	0.460	0.396	0.134	0.992	1.038	0.243	0.264	NSEI
p_yellow	13	17	1	0.460	0.393	0.130	0.991	1.037	0.243	0.275	NSEI
p_yellow	13	17	2	0.463	0.396	0.141	0.992	1.040	0.242	0.277	NSEI
p_yellow	13	18	1	0.462	0.401	0.131	0.991	1.035	0.243	0.251	NSEI
p_yellow	13	18	2	0.461	0.400	0.137	0.992	1.036	0.243	0.251	NSEI
p_yellow	13	19	1	0.459	0.397	0.133	0.993	1.036	0.245	0.253	NSEI
p_yellow	13	19	2	0.461	0.397	0.133	0.992	1.036	0.245	0.261	NSEI
p_yellow	13	2	1	0.460	0.391	0.135	0.992	1.036	0.245	0.282	NSEI
p_yellow	13	2	2	0.460	0.395	0.127	0.993	1.039	0.248	0.262	NSEI
p_yellow	13	20	1	0.463	0.399	0.138	0.992	1.035	0.242	0.264	NSEI
p_yellow	13	20	2	0.463	0.403	0.128	0.991	1.035	0.244	0.246	NSEI
p_yellow	13	21	1	0.463	0.401	0.139	0.992	1.034	0.243	0.255	NSEI
p_yellow	13	21	2	0.462	0.395	0.141	0.992	1.038	0.242	0.277	NSEI
p_yellow	13	22	1	0.456	0.387	0.129	0.992	1.034	0.245	0.281	NSEI
p_yellow	13	22	2	0.464	0.399	0.138	0.993	1.038	0.244	0.267	NSEI
p_yellow	13	23	1	0.432	0.360	0.108	0.990	1.038	0.251	0.287	NSEI
p_yellow	13	23	2	0.506	0.459	0.161	0.993	1.038	0.237	0.199	NSEI
p_yellow	13	24	1	0.429	0.363	0.109	0.991	1.039	0.249	0.265	NSEI
p_yellow	13	24	2	0.507	0.456	0.158	0.994	1.030	0.237	0.215	NSEI
p_yellow	13	25	1	0.431	0.367	0.103	0.990	1.042	0.248	0.258	NSEI
p_yellow	13	25	2	0.507	0.462	0.160	0.994	1.028	0.235	0.192	NSEI
p_yellow	13	26	1	0.425	0.359	0.112	0.989	1.039	0.246	0.269	NSEI
p_yellow	13	26	2	0.502	0.452	0.168	0.994	1.036	0.233	0.214	NSEI
p_yellow	13	27	1	0.413	0.347	0.112	0.989	1.036	0.243	0.272	NSEI
p_yellow	13	27	2	0.500	0.455	0.159	0.993	1.032	0.231	0.195	NSEI
p_yellow	13	28	1	0.419	0.357	0.109	0.989	1.040	0.237	0.262	NSEI
p_yellow	13	28	2	0.499	0.456	0.160	0.992	1.030	0.227	0.190	NSEI
p_yellow	13	29	1	0.396	0.344	0.104	0.973	1.037	0.223	0.233	NSEI
p_yellow	13	29	2	0.484	0.450	0.167	0.983	1.028	0.215	0.158	NSEI
p_yellow	13	3	1	0.464	0.398	0.139	0.993	1.035	0.244	0.270	NSEI
p_yellow	13	3	2	0.465	0.402	0.139	0.992	1.030	0.244	0.259	NSEI
p_yellow	13	4	1	0.460	0.393	0.131	0.992	1.035	0.246	0.273	NSEI
p_yellow	13	4	2	0.460	0.398	0.125	0.993	1.040	0.246	0.252	NSEI
p_yellow	13	5	1	0.464	0.404	0.135	0.992	1.042	0.243	0.247	NSEI
p_yellow	13	5	2	0.465	0.401	0.132	0.992	1.033	0.245	0.262	NSEI
p_yellow	13	6	1	0.460	0.395	0.130	0.992	1.043	0.244	0.267	NSEI
p_yellow	13	6	2	0.465	0.397	0.129	0.991	1.036	0.245	0.278	NSEI
p_yellow	13	7	1	0.463	0.403	0.131	0.991	1.033	0.244	0.246	NSEI
p_yellow	13	7	2	0.463	0.398	0.134	0.993	1.037	0.247	0.263	NSEI
p_pelagic	13	8	2	0.138	0.123	0.042	0.323	1.011	0.072	0.209	NSEI
p_yellow	13	8	1	0.461	0.397	0.134	0.992	1.035	0.243	0.263	NSEI
p_yellow	13	8	2	0.463	0.397	0.136	0.993	1.038	0.245	0.270	NSEI
p_yellow	13	9	1	0.467	0.411	0.142	0.992	1.031	0.243	0.231	NSEI
p_yellow	13	9	2	0.464	0.401	0.127	0.992	1.041	0.244	0.258	NSEI
p_yellow	14	1	1	0.597	0.580	0.254	0.994	1.029	0.196	0.087	NSEO
p_yellow	14	1	2	0.636	0.627	0.294	0.996	1.027	0.187	0.048	NSEO
p_yellow	14	10	1	0.595	0.578	0.254	0.995	1.025	0.194	0.087	NSEO
p_yellow	14	10	2	0.632	0.622	0.285	0.996	1.025	0.188	0.053	NSEO
p_yellow	14	11	1	0.595	0.580	0.256	0.996	1.027	0.196	0.076	NSEO
p_yellow	14	11	2	0.634	0.621	0.296	0.997	1.022	0.186	0.070	NSEO
p_black	14	11	1	0.917	0.944	0.682	0.993	1.012	0.083	-0.325	NSEO
p_yellow	14	12	1	0.593	0.572	0.261	0.995	1.029	0.196	0.107	NSEO
p_yellow	14	12	2	0.635	0.622	0.289	0.996	1.024	0.187	0.069	NSEO
p_yellow	14	13	1	0.593	0.570	0.252	0.996	1.028	0.199	0.116	NSEO
p_yellow	14	13	2	0.634	0.627	0.287	0.996	1.029	0.187	0.037	NSEO
p_yellow	14	14	1	0.593	0.572	0.276	0.995	1.026	0.194	0.108	NSEO
p_yellow	14	14	2	0.635	0.623	0.286	0.996	1.028	0.188	0.064	NSEO
p_yellow	14	15	1	0.590	0.567	0.250	0.995	1.033	0.197	0.117	NSEO
p_yellow	14	15	2	0.635	0.624	0.289	0.996	1.021	0.187	0.059	NSEO
p_yellow	14	16	1	0.599	0.582	0.245	0.995	1.030	0.198	0.086	NSEO
p_yellow	14	16	2	0.635	0.627	0.304	0.996	1.019	0.187	0.043	NSEO
p_yellow	14	17	1	0.593	0.572	0.250	0.995	1.024	0.198	0.106	NSEO
p_yellow	14	17	2	0.630	0.621	0.284	0.996	1.027	0.190	0.047	NSEO
p_yellow	14	18	1	0.591	0.570	0.252	0.995	1.023	0.199	0.106	NSEO
p_yellow	14	18	2	0.630	0.621	0.292	0.996	1.025	0.189	0.048	NSEO
p_yellow	14	19	1	0.590	0.572	0.263	0.996	1.028	0.195	0.092	NSEO
p_yellow	14	19	2	0.635	0.624	0.305	0.997	1.030	0.186	0.059	NSEO
p_yellow	14	2	1	0.593	0.572	0.258	0.995	1.026	0.199	0.106	NSEO
p_yellow	14	2	2	0.636	0.628	0.293	0.996	1.023	0.188	0.043	NSEO
p_yellow	14	20	1	0.598	0.580	0.262	0.995	1.033	0.195	0.092	NSEO
p_yellow	14	20	2	0.633	0.624	0.285	0.996	1.019	0.188	0.048	NSEO
p_yellow	14	21	1	0.595	0.575	0.257	0.995	1.031	0.196	0.102	NSEO
p_yellow	14	21	2	0.632	0.623	0.286	0.996	1.019	0.189	0.048	NSEO
p_black	14	21	1	0.918	0.945	0.685	0.994	1.011	0.084	-0.322	NSEO
p_yellow	14	22	1	0.594	0.577	0.252	0.995	1.028	0.196	0.087	NSEO
p_yellow	14	22	2	0.637	0.625	0.306	0.995	1.025	0.186	0.065	NSEO
p_yellow	14	23	1	0.625	0.609	0.303	0.995	1.031	0.182	0.088	NSEO
p_yellow	14	23	2	0.633	0.621	0.292	0.996	1.022	0.188	0.064	NSEO
p_yellow	14	24	1	0.626	0.619	0.294	0.995	1.028	0.183	0.038	NSEO
p_yellow	14	24	2	0.635	0.626	0.299	0.996	1.024	0.187	0.048	NSEO
p_yellow	14	25	1	0.608	0.593	0.274	0.996	1.032	0.189	0.080	NSEO
p_yellow	14	25	2	0.633	0.620	0.284	0.996	1.023	0.189	0.069	NSEO
p_yellow	14	26	1	0.599	0.582	0.250	0.995	1.026	0.199	0.086	NSEO
p_yellow	14	26	2	0.636	0.623	0.295	0.996	1.022	0.185	0.070	NSEO
p_yellow	14	27	1	0.616	0.610	0.265	0.995	1.027	0.190	0.032	NSEO
p_yellow	14	27	2	0.631	0.623	0.283	0.996	1.025	0.188	0.043	NSEO
p_yellow	14	28	1	0.599	0.583	0.266	0.995	1.026	0.188	0.085	NSEO
p_yellow	14	28	2	0.627	0.618	0.285	0.995	1.023	0.189	0.048	NSEO
p_yellow	14	29	1	0.600	0.591	0.265	0.990	1.022	0.189	0.048	NSEO
p_yellow	14	29	2	0.626	0.624	0.289	0.993	1.021	0.182	0.011	NSEO
p_yellow	14	3	1	0.595	0.580	0.262	0.995	1.026	0.195	0.077	NSEO
p_yellow	14	3	2	0.632	0.625	0.291	0.995	1.026	0.188	0.037	NSEO
p_yellow	14	4	1	0.596	0.581	0.253	0.996	1.026	0.196	0.077	NSEO
p_yellow	14	4	2	0.639	0.630	0.278	0.996	1.027	0.187	0.048	NSEO
p_yellow	14	5	1	0.595	0.573	0.263	0.995	1.024	0.196	0.112	NSEO
p_yellow	14	5	2	0.634	0.624	0.296	0.996	1.024	0.189	0.053	NSEO
p_yellow	14	6	1	0.598	0.577	0.254	0.995	1.033	0.197	0.107	NSEO
p_yellow	14	6	2	0.636	0.626	0.296	0.995	1.026	0.187	0.054	NSEO
p_yellow	14	7	1	0.600	0.581	0.268	0.994	1.025	0.194	0.098	NSEO
p_yellow	14	7	2	0.634	0.623	0.294	0.996	1.025	0.187	0.059	NSEO
p_yellow	14	8	1	0.596	0.581	0.255	0.996	1.029	0.196	0.076	NSEO
p_yellow	14	8	2	0.632	0.615	0.294	0.996	1.023	0.188	0.090	NSEO
p_yellow	14	9	1	0.597	0.582	0.262	0.995	1.025	0.196	0.076	NSEO
p_yellow	14	9	2	0.635	0.623	0.286	0.996	1.029	0.186	0.065	NSEO
p_yellow	15	1	1	0.406	0.294	0.095	0.997	1.076	0.290	0.387	SSEI
p_yellow	15	1	2	0.465	0.375	0.127	0.998	1.058	0.276	0.326	SSEI
p_yellow	15	10	1	0.408	0.295	0.097	0.997	1.074	0.289	0.391	SSEI
p_yellow	15	10	2	0.467	0.372	0.136	0.998	1.066	0.274	0.347	SSEI
p_yellow	15	11	1	0.405	0.294	0.096	0.997	1.080	0.291	0.382	SSEI
p_yellow	15	11	2	0.465	0.373	0.135	0.998	1.068	0.273	0.337	SSEI
p_yellow	15	12	1	0.405	0.292	0.101	0.997	1.077	0.289	0.391	SSEI
p_yellow	15	12	2	0.463	0.371	0.134	0.998	1.065	0.275	0.335	SSEI
p_yellow	15	13	1	0.407	0.298	0.096	0.997	1.074	0.289	0.377	SSEI
p_yellow	15	13	2	0.466	0.371	0.138	0.998	1.067	0.274	0.347	SSEI
p_yellow	15	14	1	0.408	0.293	0.099	0.997	1.077	0.290	0.397	SSEI
p_yellow	15	14	2	0.465	0.375	0.134	0.998	1.070	0.274	0.328	SSEI
p_yellow	15	15	1	0.408	0.299	0.094	0.997	1.069	0.291	0.375	SSEI
p_yellow	15	15	2	0.460	0.369	0.139	0.998	1.075	0.276	0.330	SSEI
p_yellow	15	16	1	0.406	0.294	0.098	0.997	1.073	0.289	0.388	SSEI
p_yellow	15	16	2	0.464	0.371	0.137	0.998	1.067	0.274	0.339	SSEI
p_yellow	15	17	1	0.410	0.297	0.102	0.997	1.071	0.289	0.391	SSEI
p_yellow	15	17	2	0.462	0.370	0.134	0.998	1.075	0.274	0.335	SSEI
p_yellow	15	18	1	0.404	0.290	0.099	0.997	1.076	0.290	0.393	SSEI
p_yellow	15	18	2	0.463	0.368	0.128	0.998	1.064	0.275	0.346	SSEI
p_yellow	15	19	1	0.409	0.298	0.097	0.997	1.073	0.290	0.383	SSEI
p_yellow	15	19	2	0.464	0.374	0.131	0.997	1.065	0.275	0.328	SSEI
p_yellow	15	2	1	0.407	0.294	0.099	0.997	1.073	0.290	0.390	SSEI
p_yellow	15	2	2	0.463	0.370	0.136	0.998	1.068	0.274	0.339	SSEI
p_yellow	15	20	1	0.407	0.292	0.099	0.997	1.072	0.291	0.396	SSEI
p_yellow	15	20	2	0.467	0.374	0.135	0.998	1.064	0.273	0.340	SSEI
p_yellow	15	21	1	0.412	0.301	0.106	0.997	1.072	0.289	0.384	SSEI
p_yellow	15	21	2	0.464	0.371	0.131	0.998	1.065	0.274	0.339	SSEI
p_yellow	15	22	1	0.409	0.299	0.099	0.996	1.074	0.288	0.381	SSEI
p_yellow	15	22	2	0.462	0.370	0.134	0.998	1.062	0.276	0.334	SSEI
p_yellow	15	23	1	0.361	0.235	0.072	0.996	1.078	0.302	0.418	SSEI
p_yellow	15	23	2	0.526	0.452	0.174	0.998	1.059	0.256	0.289	SSEI
p_yellow	15	24	1	0.361	0.234	0.071	0.995	1.076	0.303	0.419	SSEI
p_yellow	15	24	2	0.526	0.452	0.179	0.998	1.056	0.257	0.288	SSEI
p_yellow	15	25	1	0.362	0.237	0.073	0.996	1.079	0.301	0.416	SSEI
p_yellow	15	25	2	0.525	0.459	0.179	0.998	1.057	0.256	0.258	SSEI
p_yellow	15	26	1	0.361	0.233	0.071	0.995	1.079	0.303	0.422	SSEI
p_yellow	15	26	2	0.522	0.449	0.177	0.998	1.057	0.260	0.281	SSEI
p_yellow	15	27	1	0.361	0.235	0.076	0.995	1.076	0.300	0.420	SSEI
p_yellow	15	27	2	0.523	0.450	0.178	0.998	1.067	0.256	0.285	SSEI
p_yellow	15	28	1	0.365	0.238	0.074	0.995	1.076	0.301	0.422	SSEI
p_yellow	15	28	2	0.528	0.456	0.176	0.999	1.056	0.255	0.282	SSEI
p_yellow	15	29	1	0.354	0.235	0.073	0.992	1.075	0.287	0.414	SSEI
p_yellow	15	29	2	0.520	0.453	0.178	0.997	1.055	0.250	0.268	SSEI
p_yellow	15	3	1	0.410	0.300	0.099	0.997	1.078	0.289	0.381	SSEI
p_yellow	15	3	2	0.465	0.370	0.134	0.997	1.072	0.274	0.346	SSEI
p_yellow	15	4	1	0.409	0.299	0.095	0.997	1.071	0.291	0.378	SSEI
p_yellow	15	4	2	0.465	0.372	0.133	0.998	1.068	0.273	0.341	SSEI
p_yellow	15	5	1	0.402	0.292	0.091	0.997	1.074	0.291	0.378	SSEI
p_yellow	15	5	2	0.464	0.371	0.133	0.997	1.071	0.275	0.338	SSEI
p_yellow	15	6	1	0.409	0.297	0.099	0.997	1.069	0.288	0.388	SSEI
p_yellow	15	6	2	0.463	0.368	0.129	0.998	1.064	0.274	0.347	SSEI
p_yellow	15	7	1	0.407	0.293	0.097	0.997	1.073	0.290	0.393	SSEI
p_yellow	15	7	2	0.463	0.365	0.141	0.998	1.067	0.277	0.354	SSEI
p_yellow	15	8	1	0.406	0.293	0.093	0.997	1.071	0.290	0.389	SSEI
p_yellow	15	8	2	0.466	0.376	0.128	0.998	1.067	0.275	0.328	SSEI
p_yellow	15	9	1	0.410	0.300	0.103	0.997	1.071	0.289	0.381	SSEI
p_yellow	15	9	2	0.464	0.368	0.134	0.998	1.068	0.275	0.348	SSEI
p_pelagic	16	1	2	0.396	0.391	0.165	0.661	1.011	0.129	0.039	SSEO
p_pelagic	16	5	2	0.396	0.389	0.164	0.665	1.010	0.131	0.053	SSEO
p_pelagic	16	6	1	0.420	0.414	0.180	0.686	1.011	0.133	0.045	SSEO
p_yellow	4	8	2	0.882	0.897	0.705	0.977	1.011	0.073	-0.207	PWSO
p_black	8	40	1	0.484	0.416	0.342	0.963	1.078	0.188	0.362	afognak

Table Xb. True parameters with an Rhat in excess of 1.1

variable	area_n	year/species	mean	median	lower	upper	Rhat	sd	skew	area
beta0_pH	11	3	2.453	2.787	1.114	2.927	1.731	0.556	-0.600	CSEO
beta1_pH	11	3	0.546	0.072	0.000	2.227	1.787	0.715	0.663	CSEO
beta3_pH	11	3	37.746	39.152	29.676	42.612	1.185	3.708	-0.379	CSEO
beta0_pH	12	3	2.109	2.132	-0.942	3.811	2.289	1.386	-0.017	EWYKT
beta1_pH	12	3	1.842	2.021	0.000	5.029	2.723	1.586	-0.113	EWYKT
beta3_pH	12	3	39.461	40.384	30.334	42.846	1.917	3.479	-0.265	EWYKT
beta0_pH	13	3	2.001	2.017	0.802	2.807	1.445	0.613	-0.026	NSEI
beta1_pH	13	3	0.854	0.863	0.000	2.224	1.476	0.730	-0.012	NSEI
beta3_pH	13	3	39.410	40.607	30.231	42.614	1.306	3.220	-0.372	NSEI
beta0_pH	14	3	1.696	2.250	-0.341	2.398	4.637	0.906	-0.612	NSEO
beta1_pH	14	3	0.761	0.010	0.000	3.222	5.246	1.125	0.667	NSEO
beta3_pH	14	3	37.655	39.304	29.574	42.544	1.453	3.898	-0.423	NSEO
beta1_yellow	14		0.895	0.447	0.013	5.477	1.102	1.344	0.333	NSEO
beta0_pH	15	3	1.344	1.270	-0.071	2.443	1.256	0.760	0.097	SSEI
beta1_pH	15	3	1.336	1.455	0.000	3.015	1.261	0.929	-0.128	SSEI
beta2_pH	15	4	-6.662	-5.877	-16.687	-1.140	1.180	4.132	-0.190	SSEI
beta3_pH	15	3	39.423	40.404	30.431	42.129	1.184	2.790	-0.352	SSEI
beta2_yellow	15		-6.956	-5.638	-20.474	-0.446	1.197	5.158	-0.256	SSEI
beta0_pH	16	3	2.572	2.290	0.313	4.268	2.896	1.250	0.226	SSEO
beta1_pH	16	3	1.776	2.163	0.000	4.299	3.096	1.466	-0.264	SSEO
beta3_pH	16	3	39.809	41.502	30.117	42.716	2.000	3.600	-0.470	SSEO
mu_beta1_pH	2	3	4.430	0.537	0.000	18.736	1.541	5.925	0.657	NG
tau_beta1_pH	2	3	2.333	0.027	0.010	25.956	1.138	8.372	0.275	NG
mu_beta0_pH	3	3	2.030	2.063	0.486	3.383	1.210	0.763	-0.043	PWSI
tau_beta0_pH	3	3	3.200	0.891	0.080	24.339	1.389	8.743	0.264	PWSI
mu_beta1_pH	3	3	0.547	0.145	0.000	3.010	1.160	1.307	0.308	PWSI
tau_beta1_pH	3	3	0.159	0.065	0.011	0.572	1.283	1.208	0.078	PWSI
mu_beta2_pH	3	4	-6.469	-5.771	-16.202	-0.739	1.126	4.255	-0.164	PWSI
beta3_pelagic	4		26.292	26.296	23.739	29.774	1.109	1.680	-0.002	PWSO
beta0_pH	8	3	0.168	0.315	-3.238	0.736	1.319	0.862	-0.170	afognak

Table Xc. Summary statistics describing the characteristics of the derived harvest and release estimates that are not converged relative to an Rhat of 1.01.

Statistic	non.BSAI.SOKO.Harv	BSAI.SOKO.Harv	non.BSAI.SOKO.Rel	BSAI.SOKO.Rel
n unconverged at Rhat = 1.01	372.00	204.00	950.00	333.00
Prop. of total	0.65	0.35	0.74	0.26
Prop. median less than 1	0.32	0.24	0.35	0.44
Prop. median less than 10	0.42	0.52	0.55	0.74
Prop. median less than 50	0.54	0.77	0.71	0.84
Median of the median values	28.94	8.52	5.64	1.65
Mean of the median values	711.85	194.94	173.26	135.77
Mean skew of posteriors	0.28	0.29	0.26	0.24

Table Xd. Summary statistics describing the characteristics of the derived harvest and release estimates that are not converged relative to an Rhat of 1.1.

Statistic	non.BSAI.SOKO.Harv	BSAI.SOKO.Harv	non.BSAI.SOKO.Rel	BSAI.SOKO.Rel
n unconverged at Rhat = 1.1	3.00	5.00	89.00	40.00
Prop. of total	0.38	0.62	0.69	0.31
Prop. median less than 1	1.00	0.40	0.71	0.60
Prop. median less than 10	1.00	0.60	0.89	0.95
Prop. median less than 50	1.00	1.00	0.92	1.00
Median of the median values	0.00	8.87	0.06	0.30
Mean of the median values	0.00	20.21	27.24	3.47
Mean skew of posteriors	0.15	0.20	0.17	0.16

Table Xe. All parameters and derived quantities that are not converged relative to an Rhat of 1.1.

variable	Freq
beta0_pH	7
beta1_pH	6
beta2_pH	1
beta2_yellow	1
beta3_pH	6
Ho_ay	2
Ho_ayu	4
Hs_ayu	5
Hy_ay	2
Hy_ayg	1
Hy_ayu	2
mu_beta0_pH	1
mu_beta1_pH	2
mu_beta2_pH	1
pH	19
R_ay	1
R_ayu	1
Rb_ayg	1
Rd_ay	1
Rd_ayu	6
re_pH	80
Ro_ay	35
Ro_ayg	25
Ro_ayu	52
Rs_ay	4
Rs_ayg	10
Rs_ayu	18
Ry_ay	11
Ry_ayg	6
Ry_ayu	24
sd_pH	1
tau_beta0_pH	1
tau_beta1_pH	2
tau_pH	1

Parameter estimates:

Summary Table of Parameter Estimates
Parameter	mean	sd	Lower_CI	Median	Upper_CI
mu_bc_H[1]	-0.015	0.072	-0.147	-0.018	0.137
mu_bc_H[2]	0.074	0.052	-0.021	0.073	0.183
mu_bc_H[3]	-0.275	0.068	-0.401	-0.276	-0.138
mu_bc_H[4]	-0.928	0.181	-1.291	-0.926	-0.585
mu_bc_H[5]	1.346	1.210	0.115	1.074	4.356
mu_bc_H[6]	-2.403	0.319	-3.006	-2.406	-1.752
mu_bc_H[7]	-0.455	0.103	-0.676	-0.450	-0.261
mu_bc_H[8]	0.254	0.350	-0.333	0.217	1.046
mu_bc_H[9]	-0.247	0.124	-0.489	-0.247	0.010
mu_bc_H[10]	0.060	0.063	-0.061	0.059	0.185
mu_bc_H[11]	-0.126	0.037	-0.200	-0.126	-0.053
mu_bc_H[12]	-0.254	0.108	-0.481	-0.249	-0.058
mu_bc_H[13]	-0.164	0.072	-0.304	-0.166	-0.022
mu_bc_H[14]	-0.300	0.087	-0.472	-0.297	-0.133
mu_bc_H[15]	-0.338	0.046	-0.431	-0.340	-0.245
mu_bc_H[16]	-0.199	0.357	-0.827	-0.222	0.578
mu_bc_R[1]	1.048	0.121	0.809	1.050	1.283
mu_bc_R[2]	1.017	0.074	0.860	1.021	1.162
mu_bc_R[3]	0.243	0.091	0.058	0.245	0.421
mu_bc_R[4]	0.674	0.197	0.267	0.679	1.050
mu_bc_R[5]	1.679	0.366	0.978	1.679	2.412
mu_bc_R[6]	-1.431	0.339	-2.111	-1.429	-0.762
mu_bc_R[7]	0.509	0.171	0.171	0.512	0.837
mu_bc_R[8]	0.658	0.148	0.374	0.658	0.962
mu_bc_R[9]	0.392	0.163	0.052	0.402	0.690
mu_bc_R[10]	0.906	0.101	0.705	0.908	1.107
mu_bc_R[11]	1.108	0.076	0.961	1.109	1.257
mu_bc_R[12]	0.867	0.158	0.551	0.868	1.170
mu_bc_R[13]	1.045	0.088	0.866	1.047	1.215
mu_bc_R[14]	0.863	0.120	0.624	0.866	1.094
mu_bc_R[15]	0.799	0.094	0.618	0.802	0.978
mu_bc_R[16]	1.341	0.107	1.126	1.346	1.539
tau_pH[1]	2.552	0.192	2.197	2.548	2.947
tau_pH[2]	1.641	0.154	1.357	1.635	1.953
tau_pH[3]	1.128	0.117	0.920	1.124	1.367
tau_pH[4]	1.186	0.161	0.902	1.175	1.537
tau_pH[5]	0.446	0.077	0.314	0.441	0.613
beta0_pH[1,1]	0.535	0.181	0.144	0.551	0.853
beta0_pH[2,1]	1.418	0.166	1.086	1.421	1.727
beta0_pH[3,1]	1.373	0.238	0.792	1.404	1.744
beta0_pH[4,1]	1.565	0.242	1.030	1.588	1.961
beta0_pH[5,1]	-0.710	0.354	-1.522	-0.674	-0.135
beta0_pH[6,1]	-0.448	0.404	-1.579	-0.342	0.050
beta0_pH[7,1]	0.759	0.011	0.738	0.759	0.780
beta0_pH[8,1]	-0.463	0.340	-1.308	-0.425	0.015
beta0_pH[9,1]	-0.307	0.268	-0.895	-0.289	0.161
beta0_pH[10,1]	0.283	0.205	-0.154	0.292	0.644
beta0_pH[11,1]	0.153	0.299	-0.520	0.175	0.642
beta0_pH[12,1]	0.736	0.193	0.327	0.748	1.092
beta0_pH[13,1]	-0.641	0.158	-0.979	-0.632	-0.343
beta0_pH[14,1]	-0.032	0.177	-0.407	-0.027	0.301
beta0_pH[15,1]	0.092	0.170	-0.275	0.095	0.401
beta0_pH[16,1]	-0.632	0.201	-1.047	-0.628	-0.260
beta0_pH[1,2]	2.564	0.085	2.399	2.564	2.730
beta0_pH[2,2]	3.078	0.022	3.035	3.079	3.121
beta0_pH[3,2]	3.625	0.042	3.544	3.626	3.708
beta0_pH[4,2]	2.935	0.019	2.898	2.935	2.973
beta0_pH[5,2]	4.510	1.437	2.708	4.221	8.176
beta0_pH[6,2]	3.324	0.158	3.021	3.322	3.646
beta0_pH[7,2]	2.034	0.048	1.942	2.033	2.127
beta0_pH[8,2]	2.822	0.065	2.696	2.821	2.954
beta0_pH[9,2]	3.949	0.211	3.561	3.943	4.377
beta0_pH[10,2]	3.995	0.129	3.751	3.991	4.249
beta0_pH[11,2]	1.885	0.009	1.867	1.885	1.903
beta0_pH[12,2]	1.786	0.068	1.654	1.786	1.922
beta0_pH[13,2]	2.497	0.027	2.446	2.498	2.550
beta0_pH[14,2]	1.803	0.024	1.759	1.802	1.851
beta0_pH[15,2]	2.544	0.017	2.511	2.544	2.579
beta0_pH[16,2]	2.759	0.025	2.712	2.759	2.809
beta0_pH[1,3]	1.123	0.399	0.135	1.194	1.689
beta0_pH[2,3]	2.126	0.017	2.092	2.126	2.160
beta0_pH[3,3]	2.692	0.024	2.645	2.692	2.739
beta0_pH[4,3]	2.981	0.035	2.912	2.982	3.051
beta0_pH[5,3]	3.337	2.171	0.936	2.848	9.016
beta0_pH[6,3]	1.374	0.378	0.728	1.343	2.178
beta0_pH[7,3]	0.863	0.050	0.767	0.862	0.961
beta0_pH[8,3]	0.168	0.862	-3.238	0.315	0.736
beta0_pH[9,3]	-2.095	1.094	-4.563	-1.963	-0.322
beta0_pH[10,3]	-0.436	0.902	-2.583	-0.337	0.937
beta0_pH[11,3]	2.453	0.556	1.114	2.787	2.927
beta0_pH[12,3]	2.109	1.386	-0.942	2.132	3.811
beta0_pH[13,3]	2.001	0.613	0.802	2.017	2.807
beta0_pH[14,3]	1.696	0.906	-0.341	2.250	2.398
beta0_pH[15,3]	1.344	0.760	-0.071	1.270	2.443
beta0_pH[16,3]	2.572	1.250	0.313	2.290	4.268
beta0_pH[11,4]	0.906	0.410	0.034	0.925	1.656
beta0_pH[12,4]	1.013	0.661	-0.259	0.961	2.341
beta0_pH[13,4]	0.646	0.470	-0.429	0.690	1.489
beta0_pH[14,4]	0.416	0.402	-0.441	0.449	1.104
beta0_pH[15,4]	0.528	0.439	-0.471	0.588	1.280
beta0_pH[16,4]	0.992	0.576	-0.162	0.960	2.143
beta0_pH[11,5]	2.962	0.148	2.691	2.957	3.272
beta0_pH[12,5]	-0.679	0.579	-1.845	-0.675	0.469
beta0_pH[13,5]	4.858	0.408	4.118	4.839	5.692
beta0_pH[14,5]	3.889	0.368	3.203	3.876	4.638
beta0_pH[15,5]	2.284	0.122	2.062	2.282	2.533
beta0_pH[16,5]	0.261	0.080	0.149	0.245	0.455
beta1_pH[1,1]	2.625	0.538	1.814	2.548	4.043
beta1_pH[2,1]	1.601	0.331	1.015	1.591	2.303
beta1_pH[3,1]	1.855	0.499	1.146	1.775	3.279
beta1_pH[4,1]	1.927	0.480	1.225	1.846	3.240
beta1_pH[5,1]	2.194	0.448	1.454	2.161	3.179
beta1_pH[6,1]	1.989	0.726	1.065	1.814	4.088
beta1_pH[7,1]	0.000	0.000	0.000	0.000	0.000
beta1_pH[8,1]	2.172	0.729	1.231	2.023	4.243
beta1_pH[9,1]	1.900	0.431	1.199	1.854	2.904
beta1_pH[10,1]	2.088	0.369	1.461	2.068	2.854
beta1_pH[11,1]	3.219	0.444	2.514	3.180	4.277
beta1_pH[12,1]	2.696	0.282	2.149	2.687	3.263
beta1_pH[13,1]	3.423	0.262	2.950	3.406	3.982
beta1_pH[14,1]	2.883	0.314	2.302	2.871	3.553
beta1_pH[15,1]	2.344	0.248	1.893	2.339	2.860
beta1_pH[16,1]	3.589	0.287	3.045	3.592	4.160
beta1_pH[1,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[2,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[3,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[4,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[5,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[6,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[7,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[8,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[9,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[10,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[11,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[12,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[13,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[14,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[15,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[16,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[1,3]	1.888	1.315	0.031	1.710	5.531
beta1_pH[2,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[3,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[4,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[5,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[6,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[7,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[8,3]	4.333	2.887	0.062	3.696	11.808
beta1_pH[9,3]	7.349	2.807	3.101	6.836	13.721
beta1_pH[10,3]	6.308	2.706	2.568	5.716	12.478
beta1_pH[11,3]	0.546	0.715	0.000	0.072	2.227
beta1_pH[12,3]	1.842	1.586	0.000	2.021	5.029
beta1_pH[13,3]	0.854	0.730	0.000	0.863	2.224
beta1_pH[14,3]	0.761	1.125	0.000	0.010	3.222
beta1_pH[15,3]	1.336	0.929	0.000	1.455	3.015
beta1_pH[16,3]	1.776	1.466	0.000	2.163	4.299
beta1_pH[11,4]	1.906	0.470	1.029	1.901	2.833
beta1_pH[12,4]	2.793	0.653	1.506	2.817	4.101
beta1_pH[13,4]	1.386	0.495	0.458	1.346	2.467
beta1_pH[14,4]	1.956	0.465	1.121	1.928	2.926
beta1_pH[15,4]	1.512	0.479	0.660	1.470	2.562
beta1_pH[16,4]	2.933	0.632	1.666	2.971	4.167
beta1_pH[11,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[12,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[13,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[14,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[15,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[16,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[1,1]	1.179	0.826	0.299	0.882	3.312
beta2_pH[2,1]	1.599	0.943	0.301	1.393	3.429
beta2_pH[3,1]	1.317	0.854	0.175	1.132	2.938
beta2_pH[4,1]	1.138	0.806	0.194	0.847	2.898
beta2_pH[5,1]	2.610	2.872	0.318	1.707	11.505
beta2_pH[6,1]	1.765	2.848	0.122	0.572	10.191
beta2_pH[7,1]	0.000	0.000	0.000	0.000	0.000
beta2_pH[8,1]	1.578	2.559	0.151	0.515	10.167
beta2_pH[9,1]	1.681	2.524	0.193	0.664	10.237
beta2_pH[10,1]	1.853	2.451	0.303	0.925	9.814
beta2_pH[11,1]	0.484	0.277	0.201	0.411	1.188
beta2_pH[12,1]	1.743	0.871	0.629	1.475	3.719
beta2_pH[13,1]	1.048	0.465	0.524	0.933	2.362
beta2_pH[14,1]	1.251	0.742	0.475	1.008	3.427
beta2_pH[15,1]	1.169	0.701	0.415	0.960	3.239
beta2_pH[16,1]	1.327	0.580	0.676	1.169	3.027
beta2_pH[1,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[2,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[3,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[4,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[5,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[6,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[7,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[8,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[9,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[10,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[11,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[12,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[13,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[14,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[15,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[16,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[1,3]	7.074	6.906	0.106	5.611	23.857
beta2_pH[2,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[3,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[4,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[5,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[6,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[7,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[8,3]	1.521	1.606	0.040	1.047	6.039
beta2_pH[9,3]	0.382	0.981	0.088	0.206	1.682
beta2_pH[10,3]	0.512	1.027	0.101	0.275	2.471
beta2_pH[11,3]	-8.065	5.536	-21.311	-6.942	-0.656
beta2_pH[12,3]	-8.180	5.496	-22.050	-7.071	-0.806
beta2_pH[13,3]	-8.195	5.518	-22.042	-6.986	-1.074
beta2_pH[14,3]	-8.029	5.584	-22.024	-6.687	-0.807
beta2_pH[15,3]	-8.131	5.519	-21.949	-6.932	-0.989
beta2_pH[16,3]	-8.118	5.382	-21.657	-6.940	-1.066
beta2_pH[11,4]	-6.880	4.311	-17.121	-6.813	-0.762
beta2_pH[12,4]	-6.716	4.177	-16.123	-6.097	-1.059
beta2_pH[13,4]	-6.758	4.303	-16.727	-5.960	-1.033
beta2_pH[14,4]	-7.005	4.429	-16.824	-6.073	-1.254
beta2_pH[15,4]	-6.662	4.132	-16.687	-5.877	-1.140
beta2_pH[16,4]	-6.895	4.116	-17.205	-6.019	-1.608
beta2_pH[11,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[12,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[13,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[14,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[15,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[16,5]	0.000	0.000	0.000	0.000	0.000
beta3_pH[1,1]	34.969	1.212	32.880	34.901	37.682
beta3_pH[2,1]	32.690	1.275	30.413	32.648	35.467
beta3_pH[3,1]	33.034	1.553	30.191	32.950	36.775
beta3_pH[4,1]	32.678	1.872	29.615	32.502	36.764
beta3_pH[5,1]	27.635	1.050	26.118	27.514	30.328
beta3_pH[6,1]	33.229	2.810	27.130	33.116	39.912
beta3_pH[7,1]	25.000	0.000	25.000	25.000	25.000
beta3_pH[8,1]	35.948	3.558	29.241	36.585	41.652
beta3_pH[9,1]	31.650	2.246	27.596	31.511	36.444
beta3_pH[10,1]	32.369	1.234	30.154	32.301	34.945
beta3_pH[11,1]	31.448	1.179	29.398	31.415	33.878
beta3_pH[12,1]	30.755	0.480	29.718	30.805	31.619
beta3_pH[13,1]	31.397	0.532	30.442	31.355	32.544
beta3_pH[14,1]	32.336	0.700	31.203	32.272	33.812
beta3_pH[15,1]	30.986	0.703	29.587	30.998	32.375
beta3_pH[16,1]	29.946	0.359	29.259	29.934	30.665
beta3_pH[1,2]	34.486	5.530	25.372	34.572	43.460
beta3_pH[2,2]	34.474	5.485	25.379	34.480	43.523
beta3_pH[3,2]	30.585	7.280	18.559	30.520	42.405
beta3_pH[4,2]	30.631	7.206	18.767	30.484	42.346
beta3_pH[5,2]	30.374	7.353	18.616	30.292	42.402
beta3_pH[6,2]	30.524	7.314	18.589	30.459	42.362
beta3_pH[7,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[8,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[9,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[10,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[11,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[12,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[13,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[14,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[15,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[16,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[1,3]	38.219	3.623	28.423	39.624	43.067
beta3_pH[2,3]	34.516	5.519	25.508	34.461	43.557
beta3_pH[3,3]	30.635	7.258	18.620	30.653	42.492
beta3_pH[4,3]	30.607	7.229	18.647	30.754	42.453
beta3_pH[5,3]	25.000	0.000	25.000	25.000	25.000
beta3_pH[6,3]	25.000	0.000	25.000	25.000	25.000
beta3_pH[7,3]	25.000	0.000	25.000	25.000	25.000
beta3_pH[8,3]	41.672	1.686	36.479	41.839	43.865
beta3_pH[9,3]	36.298	2.043	34.533	35.458	42.168
beta3_pH[10,3]	37.787	2.498	34.638	37.068	43.374
beta3_pH[11,3]	37.746	3.708	29.676	39.152	42.612
beta3_pH[12,3]	39.461	3.479	30.334	40.384	42.846
beta3_pH[13,3]	39.410	3.220	30.231	40.607	42.614
beta3_pH[14,3]	37.655	3.898	29.574	39.304	42.544
beta3_pH[15,3]	39.423	2.790	30.431	40.404	42.129
beta3_pH[16,3]	39.809	3.600	30.117	41.502	42.716
beta3_pH[11,4]	40.449	0.927	38.792	40.397	42.454
beta3_pH[12,4]	41.703	1.006	39.487	42.135	42.868
beta3_pH[13,4]	41.629	0.943	39.774	41.753	42.931
beta3_pH[14,4]	40.431	0.667	39.051	40.439	41.700
beta3_pH[15,4]	41.059	0.846	39.254	41.040	42.665
beta3_pH[16,4]	41.873	0.442	41.026	41.902	42.761
beta3_pH[11,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[12,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[13,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[14,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[15,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[16,5]	25.000	0.000	25.000	25.000	25.000
beta4_pH[1,1]	0.262	0.021	0.223	0.261	0.304
beta4_pH[2,1]	0.211	0.005	0.201	0.211	0.221
beta4_pH[3,1]	0.172	0.007	0.159	0.172	0.186
beta4_pH[4,1]	0.294	0.011	0.272	0.293	0.317
beta4_pH[5,1]	0.440	0.380	0.094	0.393	0.991
beta4_pH[6,1]	0.796	0.409	0.334	0.744	1.553
beta4_pH[7,1]	0.843	0.344	0.335	0.784	1.700
beta4_pH[8,1]	0.159	0.068	0.047	0.153	0.302
beta4_pH[9,1]	0.212	0.086	0.058	0.208	0.395
beta4_pH[10,1]	0.001	0.001	0.000	0.001	0.003
beta4_pH[11,1]	0.446	0.012	0.423	0.446	0.469
beta4_pH[12,1]	0.607	0.024	0.561	0.607	0.654
beta4_pH[13,1]	0.631	0.014	0.605	0.631	0.658
beta4_pH[14,1]	0.659	0.031	0.600	0.658	0.721
beta4_pH[15,1]	0.797	0.021	0.757	0.797	0.839
beta4_pH[16,1]	1.076	0.044	0.995	1.074	1.165
beta4_pH[1,2]	0.311	0.097	0.135	0.309	0.506
beta4_pH[2,2]	0.514	0.023	0.468	0.514	0.558
beta4_pH[3,2]	0.446	0.012	0.423	0.446	0.469
beta4_pH[4,2]	0.654	0.038	0.580	0.653	0.730
beta4_pH[5,2]	0.776	1.048	0.101	0.551	2.613
beta4_pH[6,2]	0.901	0.708	0.200	0.745	2.664
beta4_pH[7,2]	0.878	0.395	0.354	0.811	1.800
beta4_pH[8,2]	0.837	0.199	0.471	0.827	1.271
beta4_pH[9,2]	1.184	1.207	0.299	0.880	3.840
beta4_pH[10,2]	0.456	0.051	0.363	0.453	0.564
beta4_pH[11,2]	1.269	0.050	1.171	1.268	1.369
beta4_pH[12,2]	0.566	0.108	0.368	0.561	0.802
beta4_pH[13,2]	0.943	0.043	0.863	0.942	1.029
beta4_pH[14,2]	0.932	0.061	0.814	0.932	1.055
beta4_pH[15,2]	1.011	0.025	0.963	1.011	1.061
beta4_pH[16,2]	1.302	0.086	1.137	1.302	1.477
beta4_pH[1,3]	0.289	0.088	0.128	0.284	0.472
beta4_pH[2,3]	0.052	0.018	0.020	0.051	0.088
beta4_pH[3,3]	0.052	0.010	0.033	0.052	0.071
beta4_pH[4,3]	0.174	0.032	0.112	0.174	0.235
beta4_pH[5,3]	0.796	0.999	0.127	0.585	2.824
beta4_pH[6,3]	0.865	0.756	0.185	0.711	2.448
beta4_pH[7,3]	0.886	0.412	0.353	0.811	1.918
beta4_pH[8,3]	0.425	0.205	0.108	0.402	0.904
beta4_pH[9,3]	0.952	0.886	0.163	0.716	3.131
beta4_pH[10,3]	0.062	0.042	0.004	0.056	0.158
beta4_pH[11,3]	0.364	0.016	0.334	0.364	0.395
beta4_pH[12,3]	0.425	0.044	0.342	0.424	0.511
beta4_pH[13,3]	0.835	0.037	0.764	0.835	0.910
beta4_pH[14,3]	0.800	0.066	0.678	0.798	0.943
beta4_pH[15,3]	0.636	0.017	0.604	0.636	0.670
beta4_pH[16,3]	0.590	0.050	0.498	0.590	0.692
beta4_pH[1,4]	0.632	0.340	0.212	0.563	1.444
beta4_pH[2,4]	0.798	0.871	0.114	0.567	2.948
beta4_pH[3,4]	0.868	1.047	0.118	0.598	3.248
beta4_pH[4,4]	0.746	0.575	0.218	0.617	1.873
beta4_pH[5,4]	0.755	0.890	0.097	0.552	2.613
beta4_pH[6,4]	0.907	0.771	0.216	0.736	2.740
beta4_pH[7,4]	0.901	0.449	0.351	0.819	1.870
beta4_pH[8,4]	0.725	0.563	0.150	0.593	2.074
beta4_pH[9,4]	0.784	0.941	0.123	0.558	3.016
beta4_pH[10,4]	1.564	3.049	0.007	0.403	11.760
beta4_pH[11,4]	0.444	0.017	0.411	0.444	0.477
beta4_pH[12,4]	0.550	0.056	0.442	0.550	0.662
beta4_pH[13,4]	0.924	0.036	0.855	0.924	0.994
beta4_pH[14,4]	0.912	0.072	0.775	0.910	1.057
beta4_pH[15,4]	0.713	0.020	0.674	0.713	0.754
beta4_pH[16,4]	0.605	0.050	0.512	0.605	0.703
beta4_pH[1,5]	0.644	0.367	0.212	0.571	1.574
beta4_pH[2,5]	0.802	0.862	0.112	0.574	2.805
beta4_pH[3,5]	0.887	1.084	0.108	0.599	3.417
beta4_pH[4,5]	0.734	0.489	0.208	0.629	1.861
beta4_pH[5,5]	0.749	0.745	0.113	0.581	2.584
beta4_pH[6,5]	0.903	0.790	0.189	0.734	2.648
beta4_pH[7,5]	0.888	0.447	0.355	0.808	1.887
beta4_pH[8,5]	0.757	0.629	0.158	0.607	2.273
beta4_pH[9,5]	0.772	0.887	0.113	0.577	2.723
beta4_pH[10,5]	1.466	3.012	0.009	0.395	10.936
beta4_pH[11,5]	0.601	0.053	0.502	0.601	0.709
beta4_pH[12,5]	0.589	0.176	0.300	0.569	0.986
beta4_pH[13,5]	0.780	0.062	0.666	0.778	0.910
beta4_pH[14,5]	0.844	0.116	0.640	0.836	1.097
beta4_pH[15,5]	1.143	0.071	1.009	1.140	1.290
beta4_pH[16,5]	16.942	4.441	8.503	17.059	24.535
beta0_pelagic[1]	2.267	0.035	2.199	2.266	2.340
beta0_pelagic[2]	1.538	0.007	1.524	1.538	1.551
beta0_pelagic[3]	0.187	0.260	-0.432	0.243	0.571
beta0_pelagic[4]	0.252	0.203	-0.185	0.259	0.640
beta0_pelagic[5]	1.454	0.155	1.154	1.451	1.767
beta0_pelagic[6]	1.355	0.061	1.240	1.353	1.479
beta0_pelagic[7]	1.485	0.039	1.414	1.484	1.565
beta0_pelagic[8]	1.674	0.043	1.594	1.674	1.760
beta0_pelagic[9]	2.795	0.065	2.672	2.795	2.928
beta0_pelagic[10]	2.603	0.031	2.544	2.602	2.668
beta0_pelagic[11]	-0.142	0.175	-0.513	-0.129	0.153
beta0_pelagic[12]	1.800	0.036	1.733	1.799	1.875
beta0_pelagic[13]	-0.873	0.366	-1.452	-0.901	-0.125
beta0_pelagic[14]	-0.285	0.181	-0.719	-0.264	0.011
beta0_pelagic[15]	-0.215	0.037	-0.310	-0.200	-0.181
beta0_pelagic[16]	-0.370	0.304	-1.094	-0.307	0.071
beta1_pelagic[1]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[2]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[3]	0.768	0.321	0.289	0.720	1.573
beta1_pelagic[4]	0.805	0.262	0.354	0.791	1.413
beta1_pelagic[5]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[6]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[7]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[8]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[9]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[10]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[11]	1.164	0.261	0.744	1.140	1.773
beta1_pelagic[12]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[13]	2.637	0.494	1.581	2.661	3.448
beta1_pelagic[14]	1.803	0.496	1.122	1.680	3.107
beta1_pelagic[15]	0.110	0.175	0.001	0.026	0.653
beta1_pelagic[16]	1.517	0.600	0.752	1.359	3.136
beta2_pelagic[1]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[2]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[3]	6.056	5.948	0.154	4.135	20.588
beta2_pelagic[4]	7.682	5.991	0.278	6.491	21.795
beta2_pelagic[5]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[6]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[7]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[8]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[9]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[10]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[11]	1.741	1.519	0.242	1.225	6.004
beta2_pelagic[12]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[13]	0.187	0.097	0.102	0.169	0.386
beta2_pelagic[14]	0.897	0.939	0.191	0.605	3.687
beta2_pelagic[15]	2.636	1.898	0.179	2.250	7.180
beta2_pelagic[16]	0.871	1.184	0.113	0.405	4.584
beta3_pelagic[1]	32.955	5.811	23.518	32.904	42.454
beta3_pelagic[2]	32.941	5.804	23.484	32.763	42.576
beta3_pelagic[3]	27.781	2.599	23.602	27.961	32.008
beta3_pelagic[4]	26.292	1.680	23.739	26.296	29.774
beta3_pelagic[5]	29.360	6.686	18.493	29.323	40.428
beta3_pelagic[6]	29.477	6.670	18.525	29.521	40.469
beta3_pelagic[7]	29.656	6.647	18.647	29.824	40.425
beta3_pelagic[8]	29.169	6.625	18.568	29.188	40.344
beta3_pelagic[9]	29.492	6.584	18.676	29.585	40.425
beta3_pelagic[10]	29.619	6.613	18.718	29.563	40.469
beta3_pelagic[11]	30.223	1.221	28.065	30.131	32.871
beta3_pelagic[12]	32.460	5.453	23.567	32.425	41.526
beta3_pelagic[13]	31.569	3.602	25.312	31.335	39.670
beta3_pelagic[14]	34.250	1.794	31.456	34.003	38.802
beta3_pelagic[15]	34.239	5.744	23.527	34.893	41.707
beta3_pelagic[16]	31.972	2.810	27.157	31.539	39.126
beta0_yellow[1]	-0.483	0.080	-0.638	-0.482	-0.325
beta0_yellow[2]	0.542	0.084	0.373	0.549	0.681
beta0_yellow[3]	-0.205	0.129	-0.465	-0.209	0.017
beta0_yellow[4]	0.824	0.352	-0.183	0.928	1.183
beta0_yellow[5]	0.244	0.322	-0.434	0.268	0.817
beta0_yellow[6]	0.817	0.108	0.606	0.817	1.034
beta0_yellow[7]	1.001	0.093	0.824	0.998	1.185
beta0_yellow[8]	1.024	0.093	0.841	1.024	1.204
beta0_yellow[9]	0.461	0.100	0.256	0.460	0.658
beta0_yellow[10]	0.537	0.070	0.404	0.534	0.677
beta0_yellow[11]	-0.224	0.118	-0.473	-0.219	-0.011
beta0_yellow[12]	-1.087	0.094	-1.275	-1.086	-0.907
beta0_yellow[13]	-1.361	0.206	-1.771	-1.340	-1.060
beta0_yellow[14]	-0.249	0.150	-0.572	-0.232	-0.015
beta0_yellow[15]	-1.236	0.126	-1.532	-1.221	-1.024
beta0_yellow[16]	-0.260	0.092	-0.446	-0.259	-0.078
beta1_yellow[1]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[2]	1.008	0.242	0.556	1.003	1.464
beta1_yellow[3]	0.463	0.247	0.020	0.475	0.930
beta1_yellow[4]	1.437	0.703	0.654	1.214	3.498
beta1_yellow[5]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[6]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[7]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[8]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[9]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[10]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[11]	0.462	0.520	0.013	0.358	1.454
beta1_yellow[12]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[13]	1.374	1.474	0.030	0.850	5.982
beta1_yellow[14]	0.895	1.344	0.013	0.447	5.477
beta1_yellow[15]	1.136	2.025	0.011	0.150	6.912
beta1_yellow[16]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[1]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[2]	-7.600	5.809	-21.953	-6.205	-0.511
beta2_yellow[3]	-7.627	5.868	-21.943	-6.264	-0.409
beta2_yellow[4]	-5.400	5.923	-20.231	-3.436	-0.106
beta2_yellow[5]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[6]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[7]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[8]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[9]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[10]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[11]	-7.649	5.765	-21.502	-6.393	-0.510
beta2_yellow[12]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[13]	-6.135	5.777	-20.342	-4.163	-0.275
beta2_yellow[14]	-7.255	5.737	-21.176	-6.027	-0.392
beta2_yellow[15]	-6.956	5.158	-20.474	-5.638	-0.446
beta2_yellow[16]	0.000	0.000	0.000	0.000	0.000
beta3_yellow[1]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[2]	28.892	1.158	27.288	28.689	31.961
beta3_yellow[3]	32.305	3.431	22.917	32.526	38.930
beta3_yellow[4]	30.196	3.508	23.721	29.018	36.678
beta3_yellow[5]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[6]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[7]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[8]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[9]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[10]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[11]	33.520	2.903	29.457	32.846	41.489
beta3_yellow[12]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[13]	33.350	2.738	29.176	33.411	39.461
beta3_yellow[14]	33.497	3.367	29.169	33.112	41.792
beta3_yellow[15]	34.429	4.277	29.095	34.199	42.450
beta3_yellow[16]	25.000	0.000	25.000	25.000	25.000
beta0_black[1]	0.011	0.075	-0.137	0.011	0.156
beta0_black[2]	1.856	0.032	1.793	1.856	1.917
beta0_black[3]	1.240	0.038	1.167	1.240	1.312
beta0_black[4]	2.425	0.049	2.331	2.425	2.517
beta0_black[5]	5.205	2.369	1.801	4.742	10.794
beta0_black[6]	5.223	2.137	2.638	4.743	10.831
beta0_black[7]	4.141	2.216	1.704	3.533	10.433
beta0_black[8]	0.887	0.215	0.492	0.880	1.342
beta0_black[9]	2.807	0.273	2.286	2.798	3.343
beta0_black[10]	1.286	0.051	1.184	1.286	1.389
beta0_black[11]	2.978	0.051	2.877	2.978	3.079
beta0_black[12]	4.917	0.185	4.553	4.918	5.284
beta0_black[13]	0.452	0.343	0.020	0.367	1.235
beta0_black[14]	2.851	0.107	2.641	2.849	3.061
beta0_black[15]	0.721	0.051	0.624	0.720	0.820
beta0_black[16]	3.772	0.073	3.625	3.772	3.910
beta2_black[1]	0.000	0.000	0.000	0.000	0.000
beta2_black[2]	0.000	0.000	0.000	0.000	0.000
beta2_black[3]	0.000	0.000	0.000	0.000	0.000
beta2_black[4]	0.000	0.000	0.000	0.000	0.000
beta2_black[5]	0.000	0.000	0.000	0.000	0.000
beta2_black[6]	0.000	0.000	0.000	0.000	0.000
beta2_black[7]	0.000	0.000	0.000	0.000	0.000
beta2_black[8]	0.000	0.000	0.000	0.000	0.000
beta2_black[9]	0.000	0.000	0.000	0.000	0.000
beta2_black[10]	0.000	0.000	0.000	0.000	0.000
beta2_black[11]	0.000	0.000	0.000	0.000	0.000
beta2_black[12]	0.000	0.000	0.000	0.000	0.000
beta2_black[13]	-2.709	1.783	-6.903	-2.378	-0.319
beta2_black[14]	0.000	0.000	0.000	0.000	0.000
beta2_black[15]	0.000	0.000	0.000	0.000	0.000
beta2_black[16]	0.000	0.000	0.000	0.000	0.000
beta3_black[1]	25.000	0.000	25.000	25.000	25.000
beta3_black[2]	25.000	0.000	25.000	25.000	25.000
beta3_black[3]	25.000	0.000	25.000	25.000	25.000
beta3_black[4]	25.000	0.000	25.000	25.000	25.000
beta3_black[5]	25.000	0.000	25.000	25.000	25.000
beta3_black[6]	25.000	0.000	25.000	25.000	25.000
beta3_black[7]	25.000	0.000	25.000	25.000	25.000
beta3_black[8]	25.000	0.000	25.000	25.000	25.000
beta3_black[9]	25.000	0.000	25.000	25.000	25.000
beta3_black[10]	25.000	0.000	25.000	25.000	25.000
beta3_black[11]	25.000	0.000	25.000	25.000	25.000
beta3_black[12]	25.000	0.000	25.000	25.000	25.000
beta3_black[13]	37.367	3.402	27.062	38.199	40.983
beta3_black[14]	25.000	0.000	25.000	25.000	25.000
beta3_black[15]	25.000	0.000	25.000	25.000	25.000
beta3_black[16]	25.000	0.000	25.000	25.000	25.000
beta4_black[1]	-0.324	0.092	-0.508	-0.325	-0.142
beta4_black[2]	0.257	0.055	0.147	0.258	0.364
beta4_black[3]	-0.720	0.065	-0.847	-0.721	-0.594
beta4_black[4]	0.625	0.128	0.387	0.621	0.894
beta4_black[5]	0.779	1.647	-1.199	0.477	4.218
beta4_black[6]	0.873	1.706	-0.813	0.537	4.363
beta4_black[7]	0.790	1.696	-1.028	0.497	4.184
beta4_black[8]	0.083	0.282	-0.515	0.091	0.603
beta4_black[9]	1.037	0.837	-0.110	0.868	3.104
beta4_black[10]	0.075	0.066	-0.052	0.075	0.205
beta4_black[11]	-0.608	0.065	-0.736	-0.608	-0.483
beta4_black[12]	1.232	0.288	0.675	1.219	1.814
beta4_black[13]	-1.003	0.077	-1.162	-1.001	-0.854
beta4_black[14]	0.225	0.183	-0.121	0.218	0.598
beta4_black[15]	0.001	0.045	-0.087	0.002	0.090
beta4_black[16]	-0.413	0.115	-0.635	-0.414	-0.194
beta0_dsr[11]	-0.329	0.009	-0.347	-0.328	-0.311
beta0_dsr[12]	1.412	0.045	1.326	1.412	1.501
beta0_dsr[13]	0.155	0.021	0.112	0.155	0.196
beta0_dsr[14]	-0.127	0.017	-0.160	-0.127	-0.094
beta0_dsr[15]	0.206	0.014	0.178	0.206	0.233
beta0_dsr[16]	0.158	0.015	0.128	0.158	0.189
beta1_dsr[11]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[12]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[13]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[14]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[15]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[16]	0.000	0.000	0.000	0.000	0.000
beta4_dsr[11]	0.543	0.036	0.474	0.543	0.613
beta4_dsr[12]	0.805	0.227	0.374	0.799	1.252
beta4_dsr[13]	-0.078	0.040	-0.158	-0.078	0.000
beta4_dsr[14]	-0.208	0.071	-0.347	-0.209	-0.072
beta4_dsr[15]	0.216	0.022	0.173	0.216	0.261
beta4_dsr[16]	-0.047	0.045	-0.136	-0.046	0.043
beta0_slope[11]	-2.208	0.021	-2.251	-2.207	-2.168
beta0_slope[12]	-5.175	0.214	-5.606	-5.165	-4.784
beta0_slope[13]	-1.501	0.034	-1.569	-1.501	-1.436
beta0_slope[14]	-2.712	0.051	-2.815	-2.709	-2.617
beta0_slope[15]	-1.592	0.022	-1.637	-1.592	-1.550
beta0_slope[16]	-2.670	0.039	-2.749	-2.669	-2.599
beta1_slope[11]	0.000	0.000	0.000	0.000	0.000
beta1_slope[12]	0.000	0.000	0.000	0.000	0.000
beta1_slope[13]	0.000	0.000	0.000	0.000	0.000
beta1_slope[14]	0.000	0.000	0.000	0.000	0.000
beta1_slope[15]	0.000	0.000	0.000	0.000	0.000
beta1_slope[16]	0.000	0.000	0.000	0.000	0.000
beta4_slope[11]	-0.337	0.076	-0.493	-0.337	-0.194
beta4_slope[12]	-4.675	0.797	-6.342	-4.645	-3.208
beta4_slope[13]	0.327	0.053	0.228	0.325	0.432
beta4_slope[14]	-0.160	0.155	-0.471	-0.159	0.133
beta4_slope[15]	-0.360	0.033	-0.425	-0.360	-0.296
beta4_slope[16]	-0.124	0.101	-0.327	-0.119	0.070
beta5_slope[11]	3.069	0.106	2.868	3.066	3.288
beta5_slope[12]	2.009	0.378	1.330	1.994	2.780
beta5_slope[13]	0.882	0.078	0.738	0.881	1.038
beta5_slope[14]	3.756	0.355	3.114	3.741	4.495
beta5_slope[15]	1.307	0.072	1.165	1.305	1.454
beta5_slope[16]	2.725	0.235	2.290	2.715	3.216
tau_comp[1]	3.786	0.292	3.246	3.772	4.390
tau_comp[2]	2.875	0.252	2.391	2.866	3.392
tau_comp[3]	0.870	0.076	0.732	0.868	1.027
tau_comp[4]	1.775	0.275	1.278	1.761	2.356
tau_comp[5]	1.265	0.189	0.926	1.252	1.673
sigma_H[1]	0.207	0.049	0.121	0.204	0.311
sigma_H[2]	0.175	0.029	0.126	0.172	0.235
sigma_H[3]	0.187	0.041	0.114	0.185	0.272
sigma_H[4]	0.462	0.081	0.326	0.453	0.642
sigma_H[5]	0.962	0.205	0.612	0.946	1.409
sigma_H[6]	0.526	0.198	0.147	0.517	0.930
sigma_H[7]	0.309	0.060	0.212	0.301	0.450
sigma_H[8]	0.419	0.099	0.263	0.409	0.636
sigma_H[9]	0.517	0.118	0.330	0.502	0.793
sigma_H[10]	0.211	0.038	0.144	0.207	0.293
sigma_H[11]	0.267	0.043	0.195	0.263	0.362
sigma_H[12]	0.386	0.149	0.201	0.341	0.720
sigma_H[13]	0.218	0.035	0.158	0.215	0.295
sigma_H[14]	0.499	0.089	0.349	0.493	0.698
sigma_H[15]	0.231	0.037	0.165	0.228	0.312
sigma_H[16]	0.217	0.041	0.150	0.213	0.313
lambda_H[1]	2.154	3.168	0.075	1.037	10.843
lambda_H[2]	5.189	4.964	0.560	3.712	17.994
lambda_H[3]	5.243	7.561	0.272	2.807	25.431
lambda_H[4]	0.006	0.004	0.001	0.005	0.017
lambda_H[5]	2.538	7.109	0.027	0.657	18.643
lambda_H[6]	6.056	13.227	0.009	0.225	47.060
lambda_H[7]	0.012	0.009	0.002	0.010	0.035
lambda_H[8]	7.531	10.235	0.050	4.021	35.497
lambda_H[9]	0.015	0.010	0.003	0.013	0.041
lambda_H[10]	0.236	0.342	0.025	0.159	0.840
lambda_H[11]	0.232	0.330	0.010	0.114	1.104
lambda_H[12]	3.799	5.027	0.191	2.233	17.517
lambda_H[13]	3.125	2.854	0.281	2.280	10.568
lambda_H[14]	3.422	4.207	0.211	2.175	13.787
lambda_H[15]	0.019	0.028	0.003	0.014	0.061
lambda_H[16]	0.648	1.005	0.038	0.337	3.173
mu_lambda_H[1]	4.050	1.894	1.024	3.854	8.356
mu_lambda_H[2]	3.672	1.973	0.468	3.503	8.008
mu_lambda_H[3]	3.373	1.803	0.732	3.087	7.413
sigma_lambda_H[1]	8.073	4.343	1.651	7.349	17.930
sigma_lambda_H[2]	8.127	4.763	0.793	7.439	18.128
sigma_lambda_H[3]	6.181	4.057	1.012	5.210	16.360
beta_H[1,1]	6.492	1.346	3.322	6.734	8.454
beta_H[2,1]	9.763	0.609	8.454	9.796	10.840
beta_H[3,1]	7.829	0.819	6.028	7.927	9.188
beta_H[4,1]	10.594	7.507	-4.014	10.423	25.357
beta_H[5,1]	-0.285	2.507	-5.593	-0.128	4.264
beta_H[6,1]	3.030	4.277	-7.465	4.471	8.091
beta_H[7,1]	1.374	5.655	-10.768	1.751	11.732
beta_H[8,1]	1.509	4.707	-2.703	1.224	3.889
beta_H[9,1]	13.785	5.613	3.050	13.771	24.938
beta_H[10,1]	6.816	1.840	3.112	6.883	10.504
beta_H[11,1]	4.959	3.600	-3.071	5.651	9.996
beta_H[12,1]	2.625	1.069	0.783	2.555	4.937
beta_H[13,1]	9.118	0.819	7.411	9.173	10.604
beta_H[14,1]	2.134	1.015	0.074	2.130	4.115
beta_H[15,1]	-7.003	3.365	-13.110	-7.115	0.199
beta_H[16,1]	3.605	2.844	-0.874	3.162	10.227
beta_H[1,2]	7.777	0.263	7.242	7.782	8.290
beta_H[2,2]	9.887	0.165	9.572	9.884	10.215
beta_H[3,2]	8.799	0.198	8.407	8.800	9.173
beta_H[4,2]	2.990	1.392	0.300	2.942	5.823
beta_H[5,2]	1.741	0.978	-0.211	1.724	3.643
beta_H[6,2]	5.997	1.106	3.438	6.166	7.754
beta_H[7,2]	2.389	1.063	0.382	2.338	4.636
beta_H[8,2]	2.962	1.297	1.102	3.147	4.260
beta_H[9,2]	3.159	1.073	1.038	3.130	5.355
beta_H[10,2]	8.030	0.367	7.294	8.038	8.733
beta_H[11,2]	9.816	0.641	8.850	9.710	11.196
beta_H[12,2]	3.945	0.370	3.249	3.932	4.709
beta_H[13,2]	9.157	0.235	8.714	9.145	9.636
beta_H[14,2]	4.014	0.349	3.333	4.010	4.718
beta_H[15,2]	11.544	0.615	10.248	11.565	12.705
beta_H[16,2]	4.454	0.803	2.950	4.442	6.070
beta_H[1,3]	8.445	0.260	7.970	8.434	8.976
beta_H[2,3]	9.866	0.144	9.585	9.866	10.150
beta_H[3,3]	9.468	0.166	9.149	9.468	9.812
beta_H[4,3]	-2.123	0.846	-3.817	-2.120	-0.484
beta_H[5,3]	3.893	0.609	2.682	3.899	5.064
beta_H[6,3]	8.411	1.178	6.682	8.178	10.881
beta_H[7,3]	-2.570	0.631	-3.806	-2.575	-1.359
beta_H[8,3]	5.358	0.613	4.716	5.254	6.687
beta_H[9,3]	-2.698	0.706	-4.097	-2.693	-1.300
beta_H[10,3]	8.557	0.277	8.018	8.551	9.103
beta_H[11,3]	8.506	0.288	7.893	8.531	9.022
beta_H[12,3]	5.291	0.310	4.582	5.326	5.792
beta_H[13,3]	8.862	0.176	8.498	8.865	9.205
beta_H[14,3]	5.777	0.272	5.170	5.798	6.254
beta_H[15,3]	10.280	0.300	9.704	10.277	10.886
beta_H[16,3]	6.144	0.565	5.002	6.185	7.138
beta_H[1,4]	8.093	0.187	7.703	8.104	8.430
beta_H[2,4]	9.850	0.130	9.582	9.856	10.098
beta_H[3,4]	9.964	0.154	9.634	9.974	10.233
beta_H[4,4]	11.791	0.467	10.862	11.802	12.695
beta_H[5,4]	5.596	0.737	4.395	5.511	7.302
beta_H[6,4]	7.189	0.909	5.286	7.395	8.541
beta_H[7,4]	8.536	0.343	7.837	8.544	9.203
beta_H[8,4]	6.717	0.301	6.081	6.743	7.179
beta_H[9,4]	7.423	0.446	6.573	7.413	8.320
beta_H[10,4]	7.528	0.225	7.111	7.523	7.993
beta_H[11,4]	9.507	0.189	9.140	9.508	9.866
beta_H[12,4]	7.252	0.202	6.865	7.253	7.668
beta_H[13,4]	9.067	0.141	8.787	9.073	9.329
beta_H[14,4]	7.824	0.215	7.421	7.814	8.259
beta_H[15,4]	9.476	0.222	9.044	9.480	9.923
beta_H[16,4]	9.391	0.233	8.966	9.385	9.866
beta_H[1,5]	8.901	0.154	8.574	8.912	9.187
beta_H[2,5]	10.674	0.100	10.486	10.672	10.882
beta_H[3,5]	10.764	0.160	10.478	10.761	11.092
beta_H[4,5]	8.347	0.498	7.410	8.336	9.350
beta_H[5,5]	5.181	0.605	3.766	5.253	6.128
beta_H[6,5]	8.980	0.622	8.047	8.880	10.313
beta_H[7,5]	6.575	0.344	5.928	6.567	7.282
beta_H[8,5]	8.253	0.236	7.892	8.231	8.685
beta_H[9,5]	8.202	0.466	7.263	8.207	9.083
beta_H[10,5]	10.030	0.227	9.572	10.032	10.455
beta_H[11,5]	11.594	0.218	11.167	11.594	12.016
beta_H[12,5]	8.609	0.187	8.248	8.606	8.981
beta_H[13,5]	10.142	0.130	9.891	10.142	10.399
beta_H[14,5]	9.236	0.217	8.837	9.229	9.668
beta_H[15,5]	11.312	0.234	10.856	11.310	11.764
beta_H[16,5]	9.869	0.179	9.493	9.876	10.205
beta_H[1,6]	10.117	0.241	9.736	10.081	10.706
beta_H[2,6]	11.472	0.116	11.251	11.470	11.700
beta_H[3,6]	10.615	0.153	10.296	10.624	10.891
beta_H[4,6]	12.902	0.876	11.200	12.909	14.613
beta_H[5,6]	5.661	0.616	4.563	5.627	6.917
beta_H[6,6]	8.739	0.574	7.493	8.783	9.783
beta_H[7,6]	10.548	0.601	9.313	10.561	11.718
beta_H[8,6]	9.513	0.306	8.972	9.538	9.976
beta_H[9,6]	8.261	0.781	6.731	8.251	9.810
beta_H[10,6]	9.149	0.351	8.411	9.175	9.775
beta_H[11,6]	10.702	0.363	9.934	10.734	11.335
beta_H[12,6]	9.371	0.242	8.904	9.363	9.886
beta_H[13,6]	11.095	0.151	10.796	11.093	11.396
beta_H[14,6]	9.919	0.290	9.328	9.926	10.466
beta_H[15,6]	10.550	0.420	9.732	10.551	11.366
beta_H[16,6]	10.599	0.249	10.061	10.609	11.072
beta_H[1,7]	10.147	1.307	6.776	10.466	11.897
beta_H[2,7]	12.123	0.523	10.973	12.145	13.106
beta_H[3,7]	10.293	0.647	8.861	10.338	11.390
beta_H[4,7]	1.497	4.496	-7.362	1.472	10.231
beta_H[5,7]	5.792	1.994	1.761	5.873	9.674
beta_H[6,7]	7.115	3.110	-0.520	8.162	10.853
beta_H[7,7]	7.621	3.056	1.585	7.668	13.804
beta_H[8,7]	10.879	1.182	9.013	10.854	12.825
beta_H[9,7]	5.114	4.074	-2.977	5.116	13.152
beta_H[10,7]	10.029	1.626	7.143	9.904	13.627
beta_H[11,7]	11.320	1.799	8.160	11.128	15.197
beta_H[12,7]	9.788	0.964	7.570	9.871	11.428
beta_H[13,7]	11.704	0.686	10.156	11.775	12.839
beta_H[14,7]	10.635	0.895	8.769	10.662	12.347
beta_H[15,7]	13.984	2.169	9.767	13.975	18.235
beta_H[16,7]	12.786	1.349	10.584	12.633	15.916
beta0_H[1]	8.477	17.455	-27.761	8.594	43.885
beta0_H[2]	10.510	8.148	-5.800	10.493	26.970
beta0_H[3]	9.567	10.449	-13.352	9.527	31.943
beta0_H[4]	3.010	187.881	-361.364	1.766	364.408
beta0_H[5]	3.378	28.442	-52.160	4.102	57.228
beta0_H[6]	5.309	53.294	-115.210	7.500	111.092
beta0_H[7]	6.641	138.880	-268.666	7.005	296.391
beta0_H[8]	6.728	35.439	-27.377	6.627	33.946
beta0_H[9]	5.890	121.337	-229.992	7.857	251.463
beta0_H[10]	8.349	36.208	-64.734	7.906	81.723
beta0_H[11]	8.845	53.994	-104.337	9.719	124.472
beta0_H[12]	6.637	12.560	-17.357	6.689	29.762
beta0_H[13]	9.844	10.556	-11.347	9.892	29.513
beta0_H[14]	6.745	11.319	-17.128	6.716	29.027
beta0_H[15]	7.763	115.322	-233.622	9.334	240.204
beta0_H[16]	8.084	28.244	-49.307	7.995	67.441

Rockfish Historical Harvest Estimates

Phil Joy & Adam Reimer

February 2025